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What Does the Future of Quantum Computing Look Like?

By CIOReview | Tuesday, April 20, 2021

The problems are getting more complicated with technology advancement, but quantum computing can offer solutions for complex issues like protein modeling. 

FREMONT, CA : As quantum computing progresses, it may be a game-changer in cryptography, chemistry, material science, agriculture, and pharmaceuticals. Quantum computing has a complicated structure and can solve complex mathematical models that drive today's economy.

What is quantum computing?

Quantum computing is the application of quantum-mechanical processes like superposition and entanglement to computation. The quantum computer concept offers a unique viewpoint on the traditional computer concept. Bits, which are key-like structures that open and close, are used in conventional computers. Quantum computing use qubits, which are interdependent and nonlinear structures.

Qubits have two distinct properties that set them apart from the entire framework of classical computing. Entanglement is a property of qubits that allows them to be interdependent so that a change in one qubit's state will cause an immediate change in the state of others.

Why is the future of quantum computing important now?

More complex problems are arising.

The challenges that are faced are becoming more complicated as technology progresses. Complex problems such as protein simulation can be solved using quantum computing. The most recent global crisis triggered by COVID-19 demonstrates that scientists need a different method to model and deactivate a single protein. Quantum computing can overcome the shortcomings of complex problems by utilizing the physics of quantum mechanics.

Supercomputers are limited to solving nonlinear problems.

Classical computing is a helpful method for performing and storing sequential operations and data. Since quantum computing has nonlinear nature properties, it appears to be a good candidate for solving nonlinear issues. Quantum computers are not suitable for all types of computation.

What are the main subjects for quantum computing?

Quantum Annealing: D-wave has already commercialized quantum annealing using today's technology.

Quantum Circuits: Quantum gates, initialization, and reset structures in the quantum circuit make it possible to perform quantum operations and calculations on quantum data. 

Quantum Cloud: Cloud-based quantum computing is a form of delivering quantum computing through the cloud by using emulators, simulators, or processors. Quantum computing systems run at temperatures of just 15 millidegrees above absolute zero and cover a large volume.

Quantum Cognition: Quantum cognition intends to use quantum computing to model concepts like the human brain, language, decision making, human memory, and conceptual reasoning.

Quantum Cryptography: Quantum cryptography attempts to develop a stable encryption system by using quantum mechanical properties.